Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization by Trung Nguyen-Quang, Minh Bui-Quang, Thinh Pham-Van, Nhan Le-Van, Khanh Nguyen-Hoang, Duc Nguyen-Minh, Tinh Phung-Thi, Anh Le-Viet, Duc Tran-Ha Minh, Dat Nguyen-Tien, Tuan-Anh Hoang-Le, Minh Truong-Ngoc

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Intensity and Wavelength-Division Multiplexing Fiber Sensor Interrogation Using a Combination of Autoencoder Pre-Trained Convolution Neural Network and Differential Evolution Algor... by Po-Han Chiu, Yu-Shen Lin, Yibeltal Chanie Manie, Jyun-Wei Li, Ja-Hon Lin, Peng-Chun Peng

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Parallel graph-based anomaly detection technique for sequential data by Ahmed Farag, Hatem Abdelkader, Rashed Salem

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Asset management using an extended Markowitz theorem by Paria Karimi

“…The resulted model is an NP-Hard problem and the proposed study uses two metaheuristics, namely genetic algorithm (GA) and particle swarm optimization (PSO) to find efficient solutions. …”
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Transmission Error Prediction of RV Reducer based on SSA-BP by Houzhen Sun, Hongbing Yuan, Bin Yu

“…There are many factors affecting the assembly quality of RV （Rotate Vector） reducer， and the assembly quality is unstable. …”
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Power losses reduction by optimal allocation of renewable distributed generation in distribution networks by Abdelkader Boukaroura, Mohammed Amroune

“…The electrical energy demand is increasing dramatically in many countries around the world due to population growth. …”
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The Linguistic Connotations of the Word Light in the Holy Quran (An analytical study of Quranic verses using Artificial intelligent techniques) by Nima Al-Fakhry

“…Finally, the research has used the algorithm of “subtractive clustering and weighted subtractive clustering” measured and Matlab language (2013) to achieve the practical aspect of the study.…”
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Compressed CNN Plant Leaf Ｒecognition Model Fused with Bayesian by YAN Ming, ZHU Liang-kuan, JING Wei-peng

“…Firstly，the recursive Bayesian algorithm is used for network pruning to adaptively remove network redundancy. …”
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User Preference Maps: Quantifying the Built Environment by Sanghyun Son, Hyoensu Kim

“…The data, categorized into three main areas—activity, comfort, and natural elements—were evaluated, visualized, and restructured using a path exploration algorithm to produce a final user-based map. For this, 3D modeling software Rhino version 7, visual programming tool Grasshopper, and Grasshopper verion 2023 plugin programs were used. …”
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Blockchain-Enabled Federated Learning to Enhance Security and Privacy in Internet of Medical Things (IoMT) by zahra eskandari

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Enhanced energy-efficient cluster-based routing with spotted hyena optimization in heterogeneous WSNs by Ved Prakash, Suman Pandey, Biswa Mohan Sahoo

“…Abstract Wireless sensor networks (WSNs) are crucial in many applications; hence, it is important to have routing algorithms that are energy-efficient in order to extend the lifespan of the network. …”
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Research on Vehicle Path Planning Method with Time Windows in Uncertain Environments by Ying Cong, Kai Zhu

“…Numerical experiments demonstrate the superior performance of the hybrid algorithm, achieving lower total costs compared to standalone ant colony, zebra optimization, genetic algorithm, and particle swarm optimization algorithms. …”
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Distributed Task Allocation for UAV Swarms with Limited Communication by Asım Egemen Yılmaz, Mutullah Eşer

“…Task allocation, a crucial aspect of UAV swarm autonomy, involves assigning sequential tasks to each aircraft based on environmental constraints and swarm status. While many task allocation algorithms assume reliable communication among agents, real-world environments often present challenges such as limited bandwidth and message interference. …”
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A Semi-Supervised Machine Learning Approach Using K-Means Algorithm to Prevent Burst Header Packet Flooding Attack in Optical Burst Switching Network by Patwary et al.

“…In this study, we propose a semi-supervised machine learning approach using k-means algorithm, to detect malicious nodes in an OBS network. …”
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Using Prediction Confidence Factors to Enhance Collaborative Filtering Recommendation Quality by Dionisis Margaris, Dimitris Spiliotopoulos, Kiriakos Sgardelis, Costas Vassilakis

“…Based on the application of the algorithm on widely used recommender systems datasets, the proposed algorithm significantly upgrades the recommendation quality, surpassing the performance of state-of-the-art research works that also consider confidence factors.…”
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Unveiling Public Sentiment on Quarter Life Crisis: A Comparative Performance Evaluation of Support Vector Machine and Naïve Bayes Algorithms on Social Media X Data by Talitha Dwi Septyorini, Khothibul Umam, Maya Rini Handayani

“…Quarter Life Crisis (QLC) is one of the psychological issues experienced by many young adults and is characterized by uncertainty, anxiety, and emotional distress. …”
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Image processing method based on aerospace monitoring by A. I. Mitsiukhin, I. I. Pikirenya

“…The processing method is realized by executing efficient algorithms for coding an image on a discrete grid by means of a chain code and spectral coding based on the fast discrete Hartley transform. …”
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NONLINEAR PROOF-OF-WORK: IMPROVING THE ENERGY EFFICIENCY OF BITCOIN MINING by Riaan Bezuidenhout, Wynand Nel, Andries Burger

“…It employs the proof-of-work (PoW) consensus algorithm to add transactions to the blockchain. This process is better known as Bitcoin mining. …”
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Artificial Intelligence-Powered Recommender Systems for Promoting Healthy Habits and Active Aging: A Systematic Review by Juan Lopez-Barreiro, Jose Luis Garcia-Soidan, Luis Alvarez-Sabucedo, Juan M. Santos-Gago

“…Limitations include excluding simpler models. Despite many proposals, systematic adherence mechanisms are lacking. …”
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Postdigital Bodies: Young People’s Experiences of Algorithmic, Tech-Facilitated Body Shaming and Image-Based Sexual Abuse during and after the COVID-19 Pandemic in England by Jessica Ringrose, Betsy Milne, Tanya Horeck, Kaitlynn Mendes

“…Young people repeatedly witness hateful and abusive comments that are algorithmically boosted. We argue that this toxic content normalises online hate in the form of body shaming and sexual shaming, developing the concept of the postdigital to analyse the offline, affective, embodied and material dimensions of online harm, harassment and abuse. …”
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